Five Postdoctoral or PhD Researchers in Quantitative Environmental Sciences (Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany)
KIT is seeking to appoint up to 5 quantitative Environmental Scientists as either postdoctoral
researchers or PhD students. The successful applicants will contribute to a number of EU-funded
research projects exploring the impacts of environmental and policy change on land use and
ecosystems, including biodiversity at large spatial scales (European to global). The positions will be held within the Land Use & Climate Change Research Group (https://landchange.imk-ifu.kit.edu/) and/or the Global Land Ecosystem Modelling Group (https://lemg.imk-ifu.kit.edu/) of the Karlsruhe Institute of Technology (KIT). Specifically, we seek researchers to address the following topics:
1. The contribution of sustainable forest management to climate change mitigation, adaptation and nature conservation;
2. The nexus between biodiversity, food and timber production, climate change mitigation, water resources and health;
3. Nature-based solutions to reduce climate change risks;
4. The role of international trade and environmental policy in land use and ecosystem change.
You will contribute to the further development and application of the LandSyMM modelling framework (https://landsymm.earth/) using environmental modelling, data analysis methods and literature review. Willingness to engage with stakeholders is also expected for some of the tasks. The positions will entail contributions to project management and reporting, and some teaching. The positions are available from September 2022 for 2-3 years initially with the potential for extension beyond this period.
Applications should be sent by email to Sylvia Kratz (email@example.com) by Friday 22 April 2022, quoting the reference, 5MRAA. Applications should be submitted within a single PDF document that includes your CV, publications list (with citations), a short (1-2 page) letter of motivation and contact details for 2 referees. The motivation letter should clearly state a) your skills and experience in quantitative environmental sciences b) whether you are applying for a postdoctoral or PhD position, and c) how your research interests relate to the topics given above and the project descriptions in the annex. Please also indicate where you heard about this job opportunity.